Hierarchical Bayesian spatio-temporal modeling of COVID-19 in the United States

DOI10.1080/02664763.2022.2069232OpenAlexW4280564549MaRDI QIDQ6078162

Unnamed Author, Kevin D. Dayaratna, Unnamed Author

Publication date: 27 September 2023

Published in: Journal of Applied Statistics (Search for Journal in Brave)

Full work available at URL: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10388819

zbMATH Keywords

Bayesian modelingspatial modelingepidemiological modelingCOVID-19Poisson modeling

Mathematics Subject Classification ID

Statistics (62-XX)

Related Items (1)

Editorial to the special issue: statistical perspectives on analytics for COVID-19 data

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